The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines
Quantile regressions are used to analyse the size, components, and nature of the gender-earnings differentials as well as the returns to education by gender in the Philippines, over the entire conditional distribution of earnings, using data from the 1999 APIS survey. This approach allows more focused conclusions about the nature of gender-earnings differentials. Incorporating the quantile regression approach to the Oaxaca-Blinder decomposition allows the localization of gender discrimination to particular quantiles of the earnings distribution and permits more targeted policy intervention.
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Volume (Year): 36 (2004)
Issue (Month): 9 ()
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Pereira, Pedro Telhado & Martins, Pedro Silva, 2000.
"Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries,"
FEUNL Working Paper Series
wp379, Universidade Nova de Lisboa, Faculdade de Economia.
- Pereira, Pedro Telhado & Martins, Pedro Silva, 2002. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," Discussion Papers 709, The Research Institute of the Finnish Economy.
- Pereira, Pedro T. & Martins, Pedro S., 2000. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," IZA Discussion Papers 120, Institute for the Study of Labor (IZA).
- Javier Gardeazabal & Arantza Ugidos, "undated". "Measuring the gender gap at different quantiles of the wage distribution," Studies on the Spanish Economy 108, FEDEA.
- Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March. Full references (including those not matched with items on IDEAS)
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